New Applications of Formal Concept Analysis: A Need for Original Pattern Domains

FCAIR 2012 – Formal Concept Analysis Meets

The application of Formal Concept Analysis (FCA) to Information Retrieval (IR) is twenty-five years old. Over this period, a number of papers have explored the potentials of FCA for various information finding tasks while several system prototypes have been made available for experimentation and testing. In this talk we survey what has been achieved so far, discussing lessons and implications f...

A new class of function spaces on domains of R^d and its relations to classical function spaces

Reducing the Size of Concept Lattices: The JBOS Approach

Formal concept analysis (FCA) is used nowadays in a large number of applications in several different areas. Nevertheless, in some applications the size of a concept lattice may be prohibitively large, thus creating a need for new approaches and algorithms to reduce concept lattices to a manageable size. This paper presents a new method for reducing a concept lattice’s complexity and introduces...

DNA Barcoding: a new tool with wide array of applications

DNA barcoding is a new term introduced in to scientific literatures by Hebert and coworkers almost a decade ago. The concept of barcoding alone is well-known to the public: a series of black bars printed on many commercial products (Universal Product Code), which are used to distinguish different products. Advances made in molecular biology and molecular techniques late 20th century e.g. sequen...

Revisiting Pattern Structure Projections

Formal concept analysis (FCA) is a well-founded method for data analysis and has many applications in data mining. Pattern structures is an extension of FCA for dealing with complex data such as sequences or graphs. However the computational complexity of computing with pattern structures is high and projections of pattern structures were introduced for simplifying computation. In this paper we...